java图像卷积
我正在尝试对图像应用平滑过滤器。但我有一个错误:java图像卷积,java,awt,Java,Awt,我正在尝试对图像应用平滑过滤器。但我有一个错误: java.awt.image.ImagingOpException: Unable to convolve src image at java.awt.image.ConvolveOp.filter(ConvolveOp.java:180) at ocr.Resolution.smoothing(Resolution.java:102) at ocr.Interface$ButtonListener.actionPerformed(Interfa
java.awt.image.ImagingOpException: Unable to convolve src image
at java.awt.image.ConvolveOp.filter(ConvolveOp.java:180)
at ocr.Resolution.smoothing(Resolution.java:102)
at ocr.Interface$ButtonListener.actionPerformed(Interface.java:332)
at javax.swing.AbstractButton.fireActionPerformed(AbstractButton.java:1995)
at javax.swing.AbstractButton$Handler.actionPerformed(AbstractButton.java:2318)
at javax.swing.DefaultButtonModel.fireActionPerformed(DefaultButtonModel.java:387)
at javax.swing.DefaultButtonModel.setPressed(DefaultButtonModel.java:242)
at javax.swing.plaf.basic.BasicButtonListener.mouseReleased(BasicButtonListener.java:236)
at java.awt.Component.processMouseEvent(Component.java:6038)
at javax.swing.JComponent.processMouseEvent(JComponent.java:3260)
at java.awt.Component.processEvent(Component.java:5803)
at java.awt.Container.processEvent(Container.java:2058)
at java.awt.Component.dispatchEventImpl(Component.java:4410)
at java.awt.Container.dispatchEventImpl(Container.java:2116)
at java.awt.Component.dispatchEvent(Component.java:4240)
at java.awt.LightweightDispatcher.retargetMouseEvent(Container.java:4322)
at java.awt.LightweightDispatcher.processMouseEvent(Container.java:3986)
at java.awt.LightweightDispatcher.dispatchEvent(Container.java:3916)
at java.awt.Container.dispatchEventImpl(Container.java:2102)
我已经研究过了,但找不到确切的解决办法。为了查看问题的根源,我将图像加载为图标。他们很好。此问题的原因可能是图像加载较晚,因此无法应用过滤器
此外,我还将应用细化算法和其他一些过滤器。您是否认为在处理过程中而不是在Java中进行比较好。谢谢你的帮助
filter = new float[] { 1.0f/121.0f, 2.0f/121.0f, 3.0f/121.0f, 2.0f/121.0f, 1.0f/121.0f,
2.0f/121.0f, 7.0f/121.0f, 11.0f/121.0f, 7.0f/121.0f, 2.0f/121.0f,
3.0f/121.0f, 11.0f/121.0f, 17.0f/121.0f, 11.0f/121.0f, 3.0f/121.0f,
2.0f/121.0f, 7.0f/121.0f, 11.0f/121.0f, 7.0f/121.0f, 2.0f/121.0f,
1.0f/121.0f, 2.0f/121.0f, 3.0f/121.0f, 2.0f/121.0f, 1.0f/121.0f};
kernelWidth = 5;
kernelHeight = 5;
BufferedImageOp bufOp ;
BufferedImage bufImg;
Image img;
img = Toolkit.getDefaultToolkit().getImage(Interface.picPath); //load image
ImageSize size = new ImageSize(img);// instance to get image dimensions
bufImg = new BufferedImage (size.getwidth(),size.getheight(),BufferedImage.TYPE_INT_RGB);
try {
bufImg = ImageIO.read(new File(Interface.picPath) );
} catch (IOException ex) {
Logger.getLogger(Resolution.class.getName()).log(Level.SEVERE, null, ex);
}
kernel = new Kernel( kernelWidth, kernelHeight, filter);
bufOp = new ConvolveOp(kernel);
bufImg = bufOp.filter(bufImg, null);
我找到了解决办法。我没有使用URl创建BuffereImage(bufImg),而是将映像本身(img)转换为BuffereImage,它现在运行
public void smoothing(){
filter = new float[] { 1.0f/121.0f, 2.0f/121.0f, 3.0f/121.0f, 2.0f/121.0f, 1.0f/121.0f,
2.0f/121.0f, 7.0f/121.0f, 11.0f/121.0f, 7.0f/121.0f, 2.0f/121.0f,
3.0f/121.0f, 11.0f/121.0f, 17.0f/121.0f, 11.0f/121.0f, 3.0f/121.0f,
2.0f/121.0f, 7.0f/121.0f, 11.0f/121.0f, 7.0f/121.0f, 2.0f/121.0f,
1.0f/121.0f, 2.0f/121.0f, 3.0f/121.0f, 2.0f/121.0f, 1.0f/121.0f};
kernelWidth = 5;
kernelHeight = 5;
kernel = new Kernel( kernelWidth, kernelHeight, filter);
op = new ConvolveOp(kernel);
img = Toolkit.getDefaultToolkit().getImage(Interface.picPath);
imageToBufferedImage(img);
bufImg = op.filter(bufImg, null);
icon = new ImageIcon(img.getScaledInstance(175, 175, Image.SCALE_DEFAULT));
icon2 = new ImageIcon(img.getScaledInstance(300, 300, Image.SCALE_DEFAULT));
Interface.label3.setIcon(icon);
Interface.label8.setIcon(icon2);
}
public void imageToBufferedImage(Image im) {
ImageSize size = new ImageSize(im);
bufImg = new BufferedImage (size.getwidth(), size.getheight(),BufferedImage.TYPE_INT_RGB);
Graphics graph = bufImg.getGraphics();
graph.drawImage(im, 0, 0, null);
graph.dispose();
}我找到了一个解决办法。我没有使用URl创建BuffereImage(bufImg),而是将映像本身(img)转换为BuffereImage,它现在运行
public void smoothing(){
filter = new float[] { 1.0f/121.0f, 2.0f/121.0f, 3.0f/121.0f, 2.0f/121.0f, 1.0f/121.0f,
2.0f/121.0f, 7.0f/121.0f, 11.0f/121.0f, 7.0f/121.0f, 2.0f/121.0f,
3.0f/121.0f, 11.0f/121.0f, 17.0f/121.0f, 11.0f/121.0f, 3.0f/121.0f,
2.0f/121.0f, 7.0f/121.0f, 11.0f/121.0f, 7.0f/121.0f, 2.0f/121.0f,
1.0f/121.0f, 2.0f/121.0f, 3.0f/121.0f, 2.0f/121.0f, 1.0f/121.0f};
kernelWidth = 5;
kernelHeight = 5;
kernel = new Kernel( kernelWidth, kernelHeight, filter);
op = new ConvolveOp(kernel);
img = Toolkit.getDefaultToolkit().getImage(Interface.picPath);
imageToBufferedImage(img);
bufImg = op.filter(bufImg, null);
icon = new ImageIcon(img.getScaledInstance(175, 175, Image.SCALE_DEFAULT));
icon2 = new ImageIcon(img.getScaledInstance(300, 300, Image.SCALE_DEFAULT));
Interface.label3.setIcon(icon);
Interface.label8.setIcon(icon2);
}
public void imageToBufferedImage(Image im) {
ImageSize size = new ImageSize(im);
bufImg = new BufferedImage (size.getwidth(), size.getheight(),BufferedImage.TYPE_INT_RGB);
Graphics graph = bufImg.getGraphics();
graph.drawImage(im, 0, 0, null);
graph.dispose();
}我刚刚遇到了“相同”的错误,并深入研究了源代码以找出错误所在。
我以读书而告终
如您所见,方法Java\u sun\u awt\u image\u ImagingLib\u convolveRaster有十几种方法返回0或-1(实际上有13种方法)
每当该方法返回非正的内容时,这个案例就以异常Ecrin posted结束,并且没有具体的错误信息,因为该方法一开始没有提供任何信息
你能做的最好的事情就是从一个有效的例子开始,就像Ecrin提供的那样,希望它对你也有效。然后一步一步地修改它。我刚刚遇到了“相同”的错误,并深入研究了源代码以找出错误所在。
我以读书而告终
如您所见,方法Java\u sun\u awt\u image\u ImagingLib\u convolveRaster有十几种方法返回0或-1(实际上有13种方法)
每当该方法返回非正的内容时,这个案例就以异常Ecrin posted结束,并且没有具体的错误信息,因为该方法一开始没有提供任何信息
你能做的最好的事情就是从一个有效的例子开始,就像Ecrin提供的那样,希望它对你也有效。然后一步一步地改变它